Recovery from moderate and severe degradation: ARC theory for the patterns and processes that define full or failed reassembly, and shifts to alternative states (A19)

• Subject Area: Hydrogeology, Hydrology, Limnology, Urban Water Management, Water Chemistry, Integrated Water Resources Management
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 426547801

We will use the ARC food web model to study degradation events by means of autocorrelation functions (ACFs). We will create three libraries of ACF fingerprint profiles: one based on food web model predictions (A19), one based on statistical analyses of time series (A17), and one based on metacommunity model analyses (A20). Their mapping onto the five ARC outcomes of reassembly will provide a combined empirical-theoretical perspective on: which food web processes, which combinations of traits, which environmental conditions in the field and which types of spatial dynamics across the landscape give rise to the alternative outcomes of community reassembly.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1439: Multilevel response to stressor increase and release in stream ecosystems (RESIST)
• Applicant Institution: Universität Duisburg-Essen
• Project Head: Professor Dr. Matthijs Vos